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Prognostic value of ferroptosis‐related genes in patients with lung adenocarcinoma
BACKGROUND: The prevalence of lung adenocarcinomas (LUADs) has dramatically increased in recent decades. Ferroptosis is a process of iron‐dependent regulatory cell death. It is still unclear whether the expression of ferroptosis‐related genes (FRGs) is involved in the pathogenesis and survival of pa...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons Australia, Ltd
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8201541/ https://www.ncbi.nlm.nih.gov/pubmed/33979897 http://dx.doi.org/10.1111/1759-7714.13998 |
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author | Zhu, Guangsheng Huang, Hua Xu, Songlin Shi, Ruifeng Gao, Zhouyong Lei, Xi Zhu, Shuai Zhou, Ning Zu, Lingling Mello, Ramon A. De Chen, Jun Xu, Song |
author_facet | Zhu, Guangsheng Huang, Hua Xu, Songlin Shi, Ruifeng Gao, Zhouyong Lei, Xi Zhu, Shuai Zhou, Ning Zu, Lingling Mello, Ramon A. De Chen, Jun Xu, Song |
author_sort | Zhu, Guangsheng |
collection | PubMed |
description | BACKGROUND: The prevalence of lung adenocarcinomas (LUADs) has dramatically increased in recent decades. Ferroptosis is a process of iron‐dependent regulatory cell death. It is still unclear whether the expression of ferroptosis‐related genes (FRGs) is involved in the pathogenesis and survival of patients with LUAD. METHODS: We retrieved LUAD data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases and used LASSO Cox regression analysis to select the gene signature suitable for modeling. The risk score was calculated according to the model, and the patients were divided into high‐ and low‐risk groups according to the median risk score. Functional enrichment analysis was carried out by this group, and a model for predicting clinical prognosis was established by combining this group with clinical factors. RESULTS: Gene set enrichment analysis (GSEA) and single‐sample gene set enrichment analysis (ssGSEA) analysis showed that there were several immune‐related pathways and immune infiltration differences between high‐ and low‐risk groups. A prognostic model integrating 10 ferroptosis‐related genes (FR‐DEGs), and clinical factors were constructed and validated in an external cohort. CONCLUSIONS: The FR‐DEGs signature was related to immune infiltration, and a model based on FR‐DEGs and clinical factors was established to predict the prognosis of patients with LUAD. |
format | Online Article Text |
id | pubmed-8201541 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley & Sons Australia, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-82015412021-06-16 Prognostic value of ferroptosis‐related genes in patients with lung adenocarcinoma Zhu, Guangsheng Huang, Hua Xu, Songlin Shi, Ruifeng Gao, Zhouyong Lei, Xi Zhu, Shuai Zhou, Ning Zu, Lingling Mello, Ramon A. De Chen, Jun Xu, Song Thorac Cancer Original Articles BACKGROUND: The prevalence of lung adenocarcinomas (LUADs) has dramatically increased in recent decades. Ferroptosis is a process of iron‐dependent regulatory cell death. It is still unclear whether the expression of ferroptosis‐related genes (FRGs) is involved in the pathogenesis and survival of patients with LUAD. METHODS: We retrieved LUAD data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases and used LASSO Cox regression analysis to select the gene signature suitable for modeling. The risk score was calculated according to the model, and the patients were divided into high‐ and low‐risk groups according to the median risk score. Functional enrichment analysis was carried out by this group, and a model for predicting clinical prognosis was established by combining this group with clinical factors. RESULTS: Gene set enrichment analysis (GSEA) and single‐sample gene set enrichment analysis (ssGSEA) analysis showed that there were several immune‐related pathways and immune infiltration differences between high‐ and low‐risk groups. A prognostic model integrating 10 ferroptosis‐related genes (FR‐DEGs), and clinical factors were constructed and validated in an external cohort. CONCLUSIONS: The FR‐DEGs signature was related to immune infiltration, and a model based on FR‐DEGs and clinical factors was established to predict the prognosis of patients with LUAD. John Wiley & Sons Australia, Ltd 2021-05-12 2021-06 /pmc/articles/PMC8201541/ /pubmed/33979897 http://dx.doi.org/10.1111/1759-7714.13998 Text en © 2021 The Authors. Thoracic Cancer published by China Lung Oncology Group and John Wiley & Sons Australia, Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Zhu, Guangsheng Huang, Hua Xu, Songlin Shi, Ruifeng Gao, Zhouyong Lei, Xi Zhu, Shuai Zhou, Ning Zu, Lingling Mello, Ramon A. De Chen, Jun Xu, Song Prognostic value of ferroptosis‐related genes in patients with lung adenocarcinoma |
title | Prognostic value of ferroptosis‐related genes in patients with lung adenocarcinoma |
title_full | Prognostic value of ferroptosis‐related genes in patients with lung adenocarcinoma |
title_fullStr | Prognostic value of ferroptosis‐related genes in patients with lung adenocarcinoma |
title_full_unstemmed | Prognostic value of ferroptosis‐related genes in patients with lung adenocarcinoma |
title_short | Prognostic value of ferroptosis‐related genes in patients with lung adenocarcinoma |
title_sort | prognostic value of ferroptosis‐related genes in patients with lung adenocarcinoma |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8201541/ https://www.ncbi.nlm.nih.gov/pubmed/33979897 http://dx.doi.org/10.1111/1759-7714.13998 |
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